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Immunoinformatics and structural aided approach to develop multi-epitope based subunit vaccine against Mycobacterium tuberculosis.
Sethi, Guneswar; Varghese, Rinku Polachirakkal; Lakra, Avinash Kant; Nayak, Subhashree Subhasmita; Krishna, Ramadas; Hwang, Jeong Ho.
Afiliação
  • Sethi G; Department of Predictive Toxicology, Korea Institute of Toxicology (KIT), Daejeon, Republic of Korea.
  • Varghese RP; Animal Model Research Group, Korea Institute of Toxicology, 30 Baehak 1-gil, Jeonguep, Jeollabuk-do, 56212, Republic of Korea.
  • Lakra AK; Department of Bioinformatics, Pondicherry University, Puducherry, 605014, India.
  • Nayak SS; Translational Health Science and Technology Institute, Faridabad, Haryana, 121001, India.
  • Krishna R; Department of Bioinformatics, Pondicherry University, Puducherry, 605014, India.
  • Hwang JH; Department of Bioinformatics, Pondicherry University, Puducherry, 605014, India. ramadaskr@gmail.com.
Sci Rep ; 14(1): 15923, 2024 07 10.
Article em En | MEDLINE | ID: mdl-38987613
ABSTRACT
Tuberculosis is a highly contagious disease caused by Mycobacterium tuberculosis (Mtb), which is one of the prominent reasons for the death of millions worldwide. The bacterium has a substantially higher mortality rate than other bacterial diseases, and the rapid rise of drug-resistant strains only makes the situation more concerning. Currently, the only licensed vaccine BCG (Bacillus Calmette-Guérin) is ineffective in preventing adult pulmonary tuberculosis prophylaxis and latent tuberculosis re-activation. Therefore, there is a pressing need to find novel and safe vaccines that provide robust immune defense and have various applications. Vaccines that combine epitopes from multiple candidate proteins have been shown to boost immunity against Mtb infection. This study applies an immunoinformatic strategy to generate an adequate multi-epitope immunization against Mtb employing five antigenic proteins. Potential B-cell, cytotoxic T lymphocyte, and helper T lymphocyte epitopes were speculated from the intended proteins and coupled with 50 s ribosomal L7/L12 adjuvant, and the vaccine was constructed. The vaccine's physicochemical profile demonstrates antigenic, soluble, and non-allergic. In the meantime, docking, molecular dynamics simulations, and essential dynamics analysis revealed that the multi-epitope vaccine structure interacted strongly with Toll-like receptors (TLR2 and TLR3). MM-PBSA analysis was performed to ascertain the system's intermolecular binding free energies accurately. The immune simulation was applied to the vaccine to forecast its immunogenic profile. Finally, in silico cloning was used to validate the vaccine's efficacy. The immunoinformatics analysis suggests the multi-epitope vaccine could induce specific immune responses, making it a potential candidate against Mtb. However, validation through the in-vivo study of the developed vaccine is essential to assess its efficacy and immunogenicity profile, which will assure active protection against Mtb.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epitopos de Linfócito T / Vacinas de Subunidades Antigênicas / Vacinas contra a Tuberculose / Imunoinformática / Mycobacterium tuberculosis Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epitopos de Linfócito T / Vacinas de Subunidades Antigênicas / Vacinas contra a Tuberculose / Imunoinformática / Mycobacterium tuberculosis Idioma: En Ano de publicação: 2024 Tipo de documento: Article